Extreme between-study homogeneity in meta-analyses could offer useful insights

Journal of Clinical Epidemiology

Volumn 59, Issue 10, 2006, Pages 1023-1032

  Ioannidis, John P A ^a,b   Trikalinos, Thomas A ^a,b   Zintzaras, Elias ^c  

^a Clinical Trials and Evidence based Medicine Unit and Clinical   (Greece)

^b TUFTS MEDICAL CENTER   (United States)

^c UNIVERSITY OF THESSALY   (Greece)

Author keywords

Bias; Heterogeneity; Homogeneity; Meta analysis; Monte Carlo; Risk ratio

Indexed keywords

ANALYTICAL ERROR; ARTICLE; COCHRANE LIBRARY; CORRELATION ANALYSIS; DATA ANALYSIS; INFERENTIAL STATISTICS; META ANALYSIS; MONTE CARLO METHOD; PREDICTION; PRIORITY JOURNAL; RISK ASSESSMENT; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE;

DATABASES, BIBLIOGRAPHIC; EPIDEMIOLOGIC METHODS; HUMANS; META-ANALYSIS; RESEARCH DESIGN; REVIEW LITERATURE; SCIENTIFIC MISCONDUCT;

EID: 33748547701     PISSN: 08954356     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2006.02.013     Document Type: Article

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